class_docstr: Serializes pandas.Series into Arrow streaming format data.
code: def serialize(self, iterable, stream):
      writer = None
      try:
          for cols in iterable:
              batch = pandas_to_arrow(
                  self._schema, self._timezone, self._field_types, cols
              )
              if writer is None:
                  import pyarrow as pa
  
                  writer = pa.RecordBatchStreamWriter(
                      stream, batch.schema
                  )
              writer.write_batch(batch)
      finally:
          if writer is not None:
              writer.close()
  
file_path: flink/flink-python/pyflink/table/serializers.py
imports: import io
  from pyflink.serializers import IterableSerializer
  from pyflink.table.utils import arrow_to_pandas, pandas_to_arrow
label_desc: Use image node_id 3 for calling the ArrowSerializer obj's underlying member method code with example usage: obj.serialize(iterable, stream) without return types